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Record W2067057008 · doi:10.1145/643603.643609

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2003· article· en· W2067057008 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAspect-oriented programmingModular designModularity (biology)Computer scienceImplementationRedundancy (engineering)ExtensibilitySeparation of concernsProgramming languageKey (lock)Software engineeringCode (set theory)SoftwareOperating system

Abstract

fetched live from OpenAlex

The FreeBSD operating system more than doubled in size between version 2 and version 4. Many changes to primary modularity are easy to spot at a high-leveL For example, new device drivers account for 38% of the growth. Not surprisingly, changes to crosscutting concerns are more difficult to track. In order to better understand how an aspect-oriented implementation would have fared during this evolution, we introduced several aspects to version 2 code, and then rolled them forward into their subsequent incarnations in versions 3 and 4 respectively. This paper describes the impact evolution had on these concerns, and provides a comparative analysis of the changes required to evolve the tangled versus aspect-oriented implementations.Our results show that for the concerns we chose, the aspect-oriented implementation facilitated evolution in four key ways: (1) changes were better localized, (2) configurability was more explicit, (3) redundancy was reduced, and (4) extensibility aligned with an aspect was more modular. Additionally, we found that the aspect-oriented implementation had negligible impact on performance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.528
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.251
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations119
Published2003
Admission routes1
Has abstractyes

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